Data Analyst

About Audiense and Buxton

Audiense combines the expertise of three prominent brands: Buxton, Elevar, and Audiense, creating an advanced analytics-to-action platform. Buxton offers over 30 years of expertise in predictive modeling and location intelligence. Elevar provides top-tier eCommerce tagging, event monitoring, and revenue attribution solutions. Audiense delivers award-winning audience segmentation and social consumer intelligence globally. Together, they empower brands across sectors like retail, CPG, and media to make quicker, smarter decisions that drive measurable growth.

Role Overview

If you're passionate about data and how it transforms business practices, this Data Analyst role at Audiense might be an excellent fit. Your duties will span across data mining, generating business intelligence, and supporting client engagements. The position involves conducting advanced data analyses, constructing custom reports and dashboards, and standardizing data for creating client solutions.

Responsibilities

• Collaborate with a multifunctional team to develop predictive models supporting real estate and marketing decisions for sectors including retail, restaurants, and healthcare.
• Examine consumer data such as behavior frequency, valuation, spending patterns, and related insights.
• Analyze site-specific information including characteristics, types, key indicators, and any qualitative trends.
• Ensure data accuracy and completeness by standardizing and validating client data prior to analysis.
• Create and tailor dynamic, interactive reports and dashboards.
• Conduct specialized analyses and devise bespoke analytical solutions as required.
• Report on project goals, statuses, and findings to internal teams and clients.
• Engage directly with clients to provide analytical solutions, aid in client support, and collaborate with their real estate and marketing departments to tackle business challenges.
• Work alongside cross-functional teams to pinpoint growth prospects within existing client accounts.

Qualifications

• Bachelor’s degree in Economics, Econometrics, Mathematics, Data Science, Market Research, Business Analytics or related disciplines; Master’s degree is advantageous.
• Exceptional analytical capabilities with solid understanding of statistics and complex problem-solving skills.
• A proactive and creative mindset focused on finding and implementing solutions.
• Strong verbal and written communication skills.
• Comfortable working in client-facing roles within multi-agency or vendor environments.
• Proven ability to build and maintain client relationships providing excellent service.
• Experience using Python or R for data analysis.
• Proficient with Microsoft Excel, Word, and PowerPoint.
• Effective time management skills with ability to meet deadlines.
• Experience in quantitative analytics is a plus.
• Knowledge of SQL or equivalent academic experience is preferred.
• Familiarity with Tableau software is an advantage.